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电力物联网下考虑社会行为的产消者交易模型研究 被引量:8

Research on Trading Model of Prosumers Considering the Social Behaviors in the Power Internet of Things
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摘要 随着分布式能源的逐步普及,传统的用户将从单纯的电能消费者转变为产消一体化者。与此同时,电力物联网的快速发展为加速这一转变提供了有利的技术支持。在此背景下,该文在电力物联网的框架下研究了产消者的交易模型。由于产消者具有明显的社会行为(包括个体行为和社交行为)特性,导致了产消者的交易行为具有一定的不确定性和随机性。因此,依据产消者的行为特性,将产消者分为发展型、生产型和享受型3种类型的个体,并以此建立考虑不同类型产消者的供需响应模型。为充分调动产消者参与交易的自主选择性,建立了双层交易机制,即自组织和区域平台交易相结合的交易模型。最后,在具有744个产消者的IEEE 33系统上验证了所构建的交易模型的有效性,并分析了产消者的交易行为特性。仿真结果表明,所构建的自组织交易模型具有灵活性,能够充分调动产消者的积极性。 With the gradual popularization of distributed energy,the traditional users will be transformed from pure consumers into prosumers in the future.Meanwhile,the rapid development of power internet of things(PIoT)provides solid technical support to facilitate such transition.Under the above background,the trade model of the prosumers based on PIo T was studied.Generally,the prosumers have obvious features of individual behaviors and social behaviors,which causes the trade behaviors of the prosumers to have uncertainty and randomness;therefore,the prosumers were divided into developmental,survival and enjoyable prosumers in terms of the behavior features,and then the models of supply and demand responsive were constructed,which considered the features of different types of prosumers.Furthermore,to fully mobilize the self-selectivity of prosumers to take part in the market,the two-layer mechanism of the market trade was constructed.Two-layer mechanism consisted of the self-organized trade and regional trade.Finally,IEEE 33-bus system with 744 prosumers was applied to verify the effectiveness of the proposed model and analyze the characteristics of trade behaviors of the prosumers.The constructed self-organized trading model has flexibility,which can fully mobilize the enthusiasm of prosumers.
作者 刘一谷 高仕斌 韦晓广 黄涛 臧天磊 陈奎 LIU Yigu;GAO Shibin;WEI Xiaoguang;HUANG Tao;ZANG Tianlei;CHEN Kui(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan Province,China;Department of Energy,Politecnico di Torino,Torino 10129,Piemonte,Italy;College of Electrical Engineering,Sichuan University,Chengdu 610065,Sichuan Province,China;School of Electrical and Power Engineering,China University of Mining and Technology,Xuzhou 221116,Jiangsu Province,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2021年第9期3173-3186,共14页 Proceedings of the CSEE
基金 国家自然科学基金重点项目(U1734202) 国家自然科学基金项目(51907097,51877181)。
关键词 产消者 电力物联网 自组织交易 社会行为 prosumers power internet of things self-organized trade social behaviors
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